Dictionary.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DICTIONARY"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Dictionary stores data in the form of mapping\n",
    "these mapping consist of keys and their associated items\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'a': 'My name', 'b': 'My age'}\n"
     ]
    }
   ],
   "source": [
    "#declaring dictionary\n",
    "\n",
    "my_dict = {'a':'My name','b':'My age'}\n",
    "print(my_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "My name\n",
      "My age\n"
     ]
    }
   ],
   "source": [
    "#accessing items of dictionary\n",
    "print(my_dict['a'])\n",
    "print(my_dict['b'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "M ae\n"
     ]
    }
   ],
   "source": [
    "#slicing the values of dictionary\n",
    "print(my_dict['a'][::2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['M', ' age']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#applying string operations on dictionary values\n",
    "my_dict['b'].split('y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'a': 'My name', 'b': 'My age', 'c': 150}\n"
     ]
    }
   ],
   "source": [
    "#using shorthands on dictionary\n",
    "my_dict['c'] = 100   #adding new values into your dictionary\n",
    "my_dict['c'] += 50\n",
    "print(my_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'nestedkey1': {'subnestedkey': 'value'}}\n"
     ]
    }
   ],
   "source": [
    "#nesting dictionaries\n",
    "d = {'k1':{'nestedkey1':{'subnestedkey':'value'}}}\n",
    "print(d['k1'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "value\n"
     ]
    }
   ],
   "source": [
    "print(d['k1']['nestedkey1']['subnestedkey'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['k1'])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting keys\n",
    "d.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values([{'nestedkey1': {'subnestedkey': 'value'}}])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting values\n",
    "d.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_items([('k1', {'nestedkey1': {'subnestedkey': 'value'}})])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.items()\n",
    "#returns key values pairs in the form of tuples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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